Exemplar-based learning probably requires learning abstractions
A commentary on Ambridge (2020)
Bibliographic Data
| ID | 20343512 |
|---|---|
| Authors | Katherine Demuth (0000-0003-3884-8886, Macquarie University, corresponding author), Mark Johnson (0000-0001-6721-2428, Macquarie University) |
| Year | 2020 |
| Volume | 40 |
| Issue | 5-6 |
| Pages | 573-575 |
| Publication date | 2020-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | First Language (JOURNAL) |
| Journal identifiers | ISSN: 0142-7237 • E-ISSN: 1740-2344 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0142723720903609 |
| OpenAlex | W3004886728 |
| Language | EN |
| Citations received | 4 |
| References cited | 2 |
Exemplar-based learning requires (i) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (ii) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require abstractions such as linguistic features. Moreover, because the segmentation procedure will vary depending on the language, a radical exemplar theory is likely to require linguistic abstractions for learning
Cognitive science · Function (biology) · Image (mathematics) · Language acquisition · Linguistics · Mathematics education · Natural language processing · Segmentation · Similarity (geometry) · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Educational Strategies and Epistemologies · Language and cultural evolution · Psychology
| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |